AI Research Scientist, VLM (vision language models)

Meta•Bellevue, WA

1d•$154,000 - $217,000

About The Position

We are seeking an AI Research Scientist specializing in Vision-Language Models (VLMs) to lead and collaborate on research that advances the state of the art in multimodal reasoning and generation. This role involves working towards ambitious long-term research goals while identifying and achieving intermediate milestones. You will directly contribute to experiments by designing details, writing reusable code, running evaluations, and organizing results. This position requires collaboration within a large team, contributing to publications and open-sourcing efforts, and mentoring other team members. A significant aspect of this role is fostering healthy cross-functional collaboration and prioritizing research that can be applied to Meta's product development.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
A PhD in AI, computer science, or related technical fields
Publications in machine learning, computer vision, NLP, speech
Experience writing software and executing complex experiments involving large AI models and datasets
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Nice To Haves

First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL)
Direct experience in generative AI and LLM research
Fluent in Python and PyTorch (or equivalent)

Responsibilities

Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large team.
Contribute to publications and open-sourcing efforts.
Mentor other team members.
Play a significant role in healthy cross-functional collaboration.
Prioritize research that can be applied to Meta's product development.
Push state of the art in multimodal generative AI.
Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants.
Mentor and work with AI/ML engineers to find a path from research to production.